Data Engineer
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Requirements
• 2–4 years of experience in Data Engineering, Analytics Engineering, or a related field. • Experience building and maintaining data pipelines and ETL/ELT workflows. • Proficiency in Python and SQL for data processing and transformation. • Experience working with Databricks, Spark, or similar distributed data processing platforms. • Familiarity with data ingestion from APIs, databases, or cloud storage systems. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Understanding of data modeling, data warehousing, and data quality practices. • Familiarity with version control (e.g., Git) and collaborative development workflows. • Ability to work collaboratively with Data Scientists, Analysts, and Engineers. • Strong problem-solving and communication skills. • $120,000 - $140,000 a year
Responsibilities
• Develop, maintain, and optimize data pipelines for analytics and machine learning workloads. • Ensure reliability, scalability, and performance of data workflows. • Implement data ingestion from internal and external sources. • Collaborate with Data Scientists and Analysts to prepare datasets for modeling and analysis. • Build and maintain Databricks-based data pipelines and workflows. • Monitor, debug, and improve data pipeline performance and platform efficiency. • Develop tools and frameworks to automate data operations and ensure data quality. • Work with product and engineering teams to translate data requirements into solutions. • Participate in code reviews and follow data engineering best practices. • Maintain documentation and contribute to improving data engineering standards and tooling.
Benefits
• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend • Coworking Office Subscription for Collaborative Spaces • Health, Dental, and Life Insurance Coverage* • Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs • Paid Parental Leave to Support Quality Time with Your Loved Ones • Career Development, including Internal and External Training Opportunities • Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges. Your zone's specific pay range is dependent on your home location. We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details. • Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region.
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